SYS.UI
REF. 02
REF.PROJECT-AURORA
CONFIDENTIAL // CASE STUDY
// Client: Global FinTech Consortium

Project Aurora

Description

A complete re-architecture of a legacy high-frequency trading platform, reducing latency by 400% and increasing throughput to 1.5M transactions per second.

Technology

RustLinux KernelFPGAAeron

Date

November 2024

The Challenge

The client, a leading consortium in the global fintech space, was grappling with a legacy infrastructure that could no longer keep pace with the volatility of modern markets. Latency spikes during high-volume trading sessions were causing significant financial slippage.

The Solution

We implemented a custom Rust-based matching engine, replacing the aging Java monolith. By leveraging zero-copy networking and kernel-bypass techniques, we achieved deterministic microsecond-level latency.

💡

Technical Note: We utilized DPDK for kernel bypass, allowing packets to move directly from the NIC to userspace memory without overhead.

Key Outcomes

  • Latency Reduction: 99th percentile latency dropped from 12ms to 45µs.
  • Throughput: System now handles 1.5M TPS with ease.
  • Reliability: Zero downtime recorded in the first 6 months of operation.

System Efficiency Gains

LIVE DATA
45%
Legacy
78%
v1.0
92%
v2.0
98%
Current

Other Selected Work

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